International journal of radiation oncology, biology, physics · 2026
Dose-Dependent LET Constraints and Constraint Resolution for Interpreting Proton Therapy Toxicity.
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Tan Hong Qi, Koh Calvin Wei Yang, Lew Kah Seng, Chua Clifford Ghee Ann, Lee Kang Hao, Yagi Masashi, Cheon WonJoong, Wibawa Andrew, Master Zubin, Lee James Cheow Lei, Park Sung Yong
Аннотация
PURPOSE: Dose-averaged linear energy transfer (LETD) has been increasingly implicated in normal tissue toxicity after proton therapy, yet LETD-related constraints are commonly implemented as single-value thresholds. Such approaches neglect the coupled dependence of biological effect on dose and LET predicted by radiobiological models. We developed a probabilistic framework for dose-dependent LET constraints and evaluated its consistency with published clinical toxicity data.
METHODS AND MATERIALS: Dose-LETD constraint curves were derived using linear quadratic-based variable relative biological effectiveness (RBE) models with 4 published parametrizations. Uncertainty from RBE model selection, tissue radiosensitivity, and fractionation was incorporated by generating ensembles of constraint curves summarized as probabilistic envelopes. Published dose-LETD data associated with 5 clinically relevant toxicities-brainstem necrosis, brain necrosis, radiation-induced brain image change, rib fracture, and osteoradionecrosis-were compared with the derived constraints. A constraint resolution metric based on voxel-level dose-LETD sampling density and model uncertainty was introduced to assess whether constraints can be supported by available clinical data.
RESULTS: Probabilistic dose-LETD constraints showed good agreement with published clinical constraints for brainstem necrosis, radiation-induced brain image, and osteoradionecrosis, with reported tolerance limits generally lying within or near the 95% confidence intervals. Dose-LETD combinations observed in patients with toxicity consistently exceeded the upper bounds of the constraint envelopes. Agreement with clinical data was reduced when the most recent RBE model was used in isolation. Constraint resolution analysis demonstrated limited empirical support for constraint localization at higher LET values.
CONCLUSIONS: Dose-dependent probabilistic LETD constraints provide a biologically consistent alternative to single-value LETD thresholds in proton therapy.
METHODS AND MATERIALS: Dose-LETD constraint curves were derived using linear quadratic-based variable relative biological effectiveness (RBE) models with 4 published parametrizations. Uncertainty from RBE model selection, tissue radiosensitivity, and fractionation was incorporated by generating ensembles of constraint curves summarized as probabilistic envelopes. Published dose-LETD data associated with 5 clinically relevant toxicities-brainstem necrosis, brain necrosis, radiation-induced brain image change, rib fracture, and osteoradionecrosis-were compared with the derived constraints. A constraint resolution metric based on voxel-level dose-LETD sampling density and model uncertainty was introduced to assess whether constraints can be supported by available clinical data.
RESULTS: Probabilistic dose-LETD constraints showed good agreement with published clinical constraints for brainstem necrosis, radiation-induced brain image, and osteoradionecrosis, with reported tolerance limits generally lying within or near the 95% confidence intervals. Dose-LETD combinations observed in patients with toxicity consistently exceeded the upper bounds of the constraint envelopes. Agreement with clinical data was reduced when the most recent RBE model was used in isolation. Constraint resolution analysis demonstrated limited empirical support for constraint localization at higher LET values.
CONCLUSIONS: Dose-dependent probabilistic LETD constraints provide a biologically consistent alternative to single-value LETD thresholds in proton therapy.